Machine learning attacks on 65nm Arbiter PUFs: Accurate modeling poses strict bounds on usability

Gabriel Hospodar, Roel Maes, Ingrid Verbauwhede. Machine learning attacks on 65nm Arbiter PUFs: Accurate modeling poses strict bounds on usability. In 2012 IEEE International Workshop on Information Forensics and Security, WIFS 2012, Costa Adeje, Tenerife, Spain, December 2-5, 2012. pages 37-42, IEEE, 2012. [doi]

@inproceedings{HospodarMV12,
  title = {Machine learning attacks on 65nm Arbiter PUFs: Accurate modeling poses strict bounds on usability},
  author = {Gabriel Hospodar and Roel Maes and Ingrid Verbauwhede},
  year = {2012},
  doi = {10.1109/WIFS.2012.6412622},
  url = {http://dx.doi.org/10.1109/WIFS.2012.6412622},
  researchr = {https://researchr.org/publication/HospodarMV12},
  cites = {0},
  citedby = {0},
  pages = {37-42},
  booktitle = {2012 IEEE International Workshop on Information Forensics and Security, WIFS 2012, Costa Adeje, Tenerife, Spain, December 2-5, 2012},
  publisher = {IEEE},
  isbn = {978-1-4673-2285-0},
}